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Enterprise-grade distributed service mesh for MCP agents. Distributed Dynamic Dependency Injection (DDDI) with zero-boilerplate, Kubernetes-native deployment across Python, TypeScript, and Java.

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Enterprise-grade distributed service mesh for MCP agents. Distributed Dynamic Dependency Injection (DDDI) with zero-boilerplate, Kubernetes-native deployment across Python, TypeScript, and Java. 主要功能:+claude means prefer the reasoning agent、02 THINK Reasoning picks its own collaborators、A --raw mode turns your AI coding assistant into a mesh expert, and a ten-day tutorial ships inside the CLI、a hundred more arrive through LiteLLM, the Vercel AI SDK, or Spring AI、A provider agent advertises llm, and that is the whole integration、Add a new agent to the mesh tomorrow and the model can reach it — with no redeploy and no change to this code、agent(name="claude-weather", auto_run=True) class Agent: pass The LLM orchestrates tools via the mesh filter pattern and returns a typed pydantic Forecast — no agentic loop to write、agent(name="trip-planner", auto_run=True) class TripAgent: pass io。

典型場景
  • +claude means prefer the reasoning agent
  • 02 THINK Reasoning picks its own collaborators
  • A --raw mode turns your AI coding assistant into a mesh expert, and a ten-day tutorial ships inside the CLI
  • a hundred more arrive through LiteLLM, the Vercel AI SDK, or Spring AI
  • A provider agent advertises llm, and that is the whole integration
  • Add a new agent to the mesh tomorrow and the model can reach it — with no redeploy and no change to this code
  • agent(name="claude-weather", auto_run=True) class Agent: pass The LLM orchestrates tools via the mesh filter pattern and returns a typed pydantic Forecast — no agentic loop to write
  • agent(name="trip-planner", auto_run=True) class TripAgent: pass <dependency> <groupId>io

功能與使用情境

+claude means prefer the reasoning agent02 THINK Reasoning picks its own collaboratorsA --raw mode turns your AI coding assistant into a mesh expert, and a ten-day tutorial ships inside the CLIa hundred more arrive through LiteLLM, the Vercel AI SDK, or Spring AIA provider agent advertises llm, and that is the whole integrationAdd a new agent to the mesh tomorrow and the model can reach it — with no redeploy and no change to this codeagent(name="claude-weather", auto_run=True) class Agent: pass The LLM orchestrates tools via the mesh filter pattern and returns a typed pydantic Forecast — no agentic loop to writeagent(name="trip-planner", auto_run=True) class TripAgent: pass <dependency> <groupId>io

快速事實

提供公開 API
支援自架

使用分析

變現方式
  • 免費
成熟度信號
  • 開源
  • 公開 API
上手難度
  • 中

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